A WSN-based prediction model of microclimate in a greenhouse using extreme learning approaches
(2016)
Book Chapter
Liu, Q., Jin, D., Shen, J., Fu, Z., & Linge, N. (2016). A WSN-based prediction model of microclimate in a greenhouse using extreme learning approaches. In 2016 18th International Conference on Advanced Communication Technology (ICACT) (730-735). IEEE. https://doi.org/10.1109/ICACT.2016.7423609
Monitoring and controlling microclimate in a greenhouse becomes one of the research hotspots in the field of agrometeorology, where the application of Wireless Sensor Networks (WSN) recently attracts more attentions due to its features of self-adapti... Read More about A WSN-based prediction model of microclimate in a greenhouse using extreme learning approaches.